One pivotal message received by attendees of this week’s NVIDIA GPU Technology Conference (GTC) in Silicon Valley is the importance of game-changing storage solutions and applications that empower users to accomplish their most challenging AI objectives.

Many organizations taking advantage of newly available AI technologies are seeking solutions for AI-at-scale, built to address the manageability challenges and productivity barriers by delivering a seamless and flexible end-to-end AI pipeline solution. Crowds at this week’s GTC conference hosted by NVIDIA saw new announcements that moved to satisfy these needs. For example, take Pure Storage’s new offerings: Hyperscale AIRI and FlashStack for AI.

Implementing a data catalog helps every member of your data community discover and use the best data and analytics resources for their projects, achieve faster results, and make better decisions. They illuminate tribal knowledge and spur collaboration, both of which are key elements of collective data empowerment. Are you ready to plan and launch your modern data catalog? Data.world says, let’s get started.

Despite their many promising benefits, advancements in Artificial Intelligence (AI) and Deep Learning (DL) are creating some of the most challenging workloads in modern computing history and put significant strain on the underlying I/O, storage, compute and network. An AI-enabled data center must be able to concurrently and efficiently service the entire spectrum of activities involved in the AI and DL process, including data ingest, training and inference.

Our annual insideBIGDATA Executive Round Up showcases the insights of thought leaders on the state of the big data industry, and where it is headed. In our annual 2019 round up, we examine five topics: the importance of AI explainability in 2019, what industries are making the best competitive use of AI in 2019, how enterprises are seeking to improve technological infrastructure and cloud hosting processes for supporting AI, how AI-optimized hardware solves important compute and storage requirements, and how AI plays important roles at 3 leading companies.

Today we conclude the insideBIGDATA Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s discussion, our panel of experienced big data executives – Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software, Robert Lee, Vice President & Chief Architect, Pure Storage, Inc., and Oliver Schabenberger, COO & CTO at SAS – discusses the most important role AI plays for their company’s mission statement, and how that role will be cultivated in 2019?

Today we continue the insideBIGDATA Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s discussion, our panel of experienced big data executives – Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software, Robert Lee, Vice President & Chief Architect, Pure Storage, Inc., and Oliver Schabenberger, COO & CTO at SAS – discusses how AI-optimized hardware solves important compute and storage requirements in support of AI, machine learning, and deep learning.

In this special guest feature, Madhan Kanagavel, CEO of FileCloud, discusses the question: should a discerning company with its eye vigilantly on the bottom line employ backup when it’s already invested in the safety net of SaaS? The short answer, and one every CEO needs to hear, is a resounding yes.

The insideBIGDATA 2019 Executive Round Up features insights from industry executives with lengthy experience in the big data industry. Here’s a look at the insights from Robert Lee, Vice President & Chief Architect for Pure Storage. Robert is focused on product architecture where he specifically looks at new innovation areas for Pure. Robert joined Pure in 2013 as part of the FlashBlade founding team and led the software architecture and development for the product.

Industry Perspectives

In this special guest feature, Brian D’alessandro, Director of Data Science at SparkBeyond, discusses how AI is a learning curve, and exploring opportunities within the technology further extends its potential to enable transformation and generate impact. It can shape workflows to drive efficiency and growth opportunities, while automating other workflows and create new business models. While AI empowers us with the ability to predict the future — we have the opportunity to change it. [READ MORE…]

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Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Download the new white paper from SQream DB that explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology.